{"id":1591354,"url":"https://alion.io/job/smallest-ai-devops-engineer","title":"DevOps Engineer","company":{"id":178074,"name":"Smallest AI","domain":"smallest.ai","url":"https://alion.io/company/smallest-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EKS","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"New Relic","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Redis","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-01T07:31:30Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-17T04:31:10Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"DevOps Engineer\nAbout the Role\nWe’re looking for a hands-on DevOps and Site Reliability Engineer who enjoys building systems that run reliably in production.\nYou’ve seen early-stage chaos, fast scale-ups, or have built serious infrastructure on your own. You understand that reliability is earned through ownership, automation, and clean engineering - not titles or years of experience.\nYou will take approved system architecture and turn it into real, working infrastructure, translating High-Level Designs (HLD) into practical, battle-tested Low-Level Designs (LLD).\nThis is a deeply execution-focused role.\nYou will work on production systems every day - deploying, scaling, observing, fixing, and improving them continuously.\nAt Smallest, infrastructure is not a support function - it is the product.\nWhat We Care About (More Than Experience)\nWe do not care about years of experience.\nWe care about:\nYour understanding of our platform. This is important.\n\nYour approach towards client satisfaction\n\nYour ability to design and operate systems that don’t fall over\n\nYour instinct to determine what to automate and when to automate\n\nYour understanding of how systems behave under real traffic\n\nYour willingness to take ownership when production breaks\n\nYour ability to debug calmly, fix permanently, and document clearly\n\nYou are flexible and agile\n\nIf you’ve learned these skills through startups, side projects, homelabs, open source, or real production failures - you’re qualified.\nKey Responsibilities\nImplement and manage AWS-centric cloud infrastructure using Terraform\n\nOperate Kubernetes (EKS) clusters across multiple environments\n\nBuild and maintain CI/CD pipelines using GitHub Actions\n\nDeploy services using Helm and Argo CD (GitOps)\n\nImplement canary, blue/green, and rolling deployments\n\nBuild and manage Docker images and registries\n\nConfigure monitoring, alerting, and logging using New Relic and CloudWatch\n\nManage AWS networking: VPCs, subnets, routing, ALB/NLB, security groups\n\nSupport RabbitMQ, Amazon SQS, Redis, and MongoDB infrastructure\n\nSupport frontend delivery using CloudFront and AWS Amplify\n\nWrite automation scripts in Bash, Python, or Go\n\nTroubleshoot incidents and participate in postmortems\n\nRequired Skill Set\nStrong hands-on experience with AWS and Kubernetes\n\nSolid Linux and networking fundamentals\n\nCI/CD pipeline design and ownership mindset\n\nProduction debugging and incident handling experience\n\nKnowledge of SLOs, SLIs, and error budgets\n\nStrong Plus\nStartup or scale-up production exposure\n\nDevOps/SRE side projects or homelabs\n\nOpen-source contributions in cloud-native ecosystem\n\nExperience with cost optimization and capacity planning\n\nTerraform-based infrastructure automation\n\nHelm and GitOps-based deployment workflows\n\nMindset We Value\nHigh ownership and accountability\n\nComfort working in ambiguity\n\nAutomation-first thinking\n\nReliability over velocity without safety\n\nStrong bias toward learning from failures\n\nIf you have the need for speed, action bias, enjoy building infrastructure that scales, fixing real production problems, and making systems boringly reliable - 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